ftbsip  
It' s all about the old idea
of taking a sound input and producing images out of it. Our
approach is mostly interested in finding algorithms that perform
a transformation of the original data into a different
representation space. We hope to find such spaces together with
appropriate basis functions that will result in representations
that are aesthetically meaningful and interesting. It still remains our interest, to find proper mathematics to solve this problem. 



samples
taken from a concert of Marcus Schmickler at Batofar, Paris May
23,1999. click on the above images to load the corresponding movie sample. 

The above
program performs a onedimensional Fast Fourier Transform on the
sampled input in realtime. 16 frequencybands with a range of 8
bits are computed. These values are the input to a variety of
algorithms, which range from simple graphing routines to
animation of sampled images. The
final programming of the visualization is performed on site. We
have also used Hidden Markov Models that were trained offline on
the sound input and whose inferred hidden states were used to
generate images during the performance. © & contact: constantin rothkopf. 

last updated Nov. 23, 2001  